You’re Not Thinking Big Enough: Rebuilding Food Systems with AI Agents — Cody Menefee, Firecrawl

This talk proposes an AI agent-based system to optimize agricultural practices, specifically rotational grazing for livestock. The core idea is to replace manual decision-making by farmers with an LLM that analyzes environmental data (drought conditions, grass height) and animal locations to suggest optimal paddock movements. The system aims to overcome blockers by scraping knowledge from farmer-generated content (YouTube, research papers) using Firecrawl, developing a vision layer for biomass and biodiversity assessment, and advocating for open collar hardware to integrate with GPS tracking systems. The ultimate goal is to increase the efficiency and sustainability of livestock farming by addressing the labor bottleneck.